BI Pixie Dashboard

BI Pixie is an innovative solution to measure the effectiveness of your Power BI reports by looking at Usage, Engagement, Adoption, User Satisfaction, Performance, and Design Impact. Gain greater insight into your BI audience and Power BI reports with state-of-the-art analytics and instrumentation. Improve your mission-critical reports and measure the return on your Power BI investments.

BI Pixie tracks usage and interactions in your BI portfolio with best-of-breed engagement and adoption key performance indicators (KPIs) such as DAU, WAU, and MAU (daily/weekly/monthly active users) with built-in time intelligence. With this level of insight, you can know your BI audience and drive informed decisions on your future BI investments.

What's New in February 2025 Version:

• Data Auditing: This new page allows you to analyze what data users select in your reports. Data Auditing is a great tool for analyzing their interests. For example, if you use BI Pixie to track usage in a sales dashboard, you can see which products your sellers are most interested in. Data Auditing also helps ensure that users can access only the data they are authorized to see.
• You can now include two CSV files of your internal and external Power BI users with hierarchies to help you group users by divisions and departments.
• The semantic model includes a time table to analyze peak times of any metric.

Recent Features:

• You can collect performance data from your Azure Log Analytics workspace using BI Pixie Automation, and then analyze it in this app. Read more here. Note, this new functionality is optional. BI Pixie does not require to use Log Analytics for any other feature. Here are the key capabilities related to performance:
  • Analyze the load times of visuals in the Performance Heatmap.
  • Identify slow DAX queries and the total CPU time that affects Fabric / Power BI capacities.
  • Correlate performance metrics with engagement metrics to analyze the effectiveness of your reports, pages, and visuals.
  • Identify the most impacted users.
  These insights help you optimize performance bottlenecks, ensuring seamless user experience and improved report efficiency.
• On the Heatmap page, you can learn where users click and where they don’t. The Visual Clicks Heatmap shows you all the visuals in your tracked reports by their exact location, their number of clicks, and the selected dimensions users clicked on.
• BI Pixie can read information from your Power BI service and allow you to analyze report efficiency at the capacity and workspace level.
• The app visuals include hyperlinks to specific workspaces, reports, or pages, allowing you to easily navigate from the BI Pixie app to the actual reports that need improvements.
• On the Design Changes page, you can analyze the timeline of design changes and how they affect the levels of engagement.
• You can measure the engagement of reports at their shared semantic model level.
• On the Design Impact page, you can analyze how the design of your reports impacts user engagement, using Complexity, Usability, and Passivity scores.
• You can deploy Event Hubs to meet higher scale and enable real-time use cases.
• BI Pixie can run Git pull and push of Power BI reports from multiple workspaces that are integrated with Git.

BI Pixie is designed to support enterprise BI teams:

• The data that is tracked never leaves your organization.
• The solution can be deployed in minutes and track thousands of reports.
• The solution can track engagement from any platform (Power BI service, Power BI Desktop, Power BI Mobile, Power BI Embedded, Publish to Web, Power BI Report Server).
• Does not use custom visuals. The solution uses built-in Power BI building blocks.
• The deployment is super-easy and doesn’t require coding skills.

This app provides the analytics and data visualization layer for the BI Pixie Azure Deployment and connects to your Azure Storage account where you store BI Pixie usage data. Go to Azure Marketplace and deploy BI Pixie's serverless event collection components.

If you prefer storing the usage data in Microsoft Dataverse, the Starter version of the app is available on AppSource here.

Experience BI Pixie firsthand—Start the trial today!